Netflix is seeking a Machine Learning Scientist to lead the research and development of Large Language Models (LLMs) and Vision-Language Models (VLMs) for games. The role focuses on algorithmic optimization to ensure models are efficient for real-time interaction across various devices, collaborating closely with Machine Learning Engineers.

• Strong foundation in deep learning architectures, with expertise in Transformers and Diffusion architectures.
• Proven track record in algorithmic model optimization (e.g., distillation, quantization-aware training, or pruning).
• Skilled in data cleaning, curation, and the creation of synthetic data.
• Ability to prioritize impact by deciding when to use commercial APIs/OSS weights versus proprietary R&D.
• Expert proficiency in Python and deep learning frameworks (such as PyTorch).

• Design and own the fine-tuning and alignment of LLMs and VLMs in PyTorch.
• Lead efforts in model compression, including knowledge distillation and structural pruning.
• Develop and optimize Diffusion-based models for Image, Video, and 3D generation.
• Strategically evaluate and integrate SOTA open-source and commercial models.
• Optimize and integrate audio, language, and vision models for low-latency interaction.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.